Frequent markup techniques for use in native advertisement placement

ABSTRACT

Techniques are provided that include obtaining a Document Object Model of an HTML document, such as a web page of a publisher. Elements of the Document Object Model may be identified that are associated with native advertisement placement candidate containers. Based at least in part on analysis associated with the Document Object Model, and utilizing at least some of the identified elements, one or more native advertisement placement candidate containers may be determined. Some techniques may utilize, in the analysis, construction and utilization of a suffix tree of a string of tags comprising all tags in the Document Object Model. Some techniques may utilize, in the analysis, a node flattening technique in connection with the Document Object Model.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.15/162,098, filed May 23, 2016, which is a continuation of U.S.application Ser. No. 14/252,552, filed on Apr. 14, 2014 issued as U.S.Pat. No. 9,361,635 in the United States Patent and Trademark Office. Theentire disclosures of these references are incorporated herein byreference.

BACKGROUND

Native advertising, as well as native content generally, is ofincreasing importance. For example, native advertisements may performwell, yet may be relatively unobtrusive to the user's experience.

SUMMARY

Some embodiments of the invention provide techniques, for example, inconnection with native advertisement, or non-advertising content,placement. Some embodiments provide techniques in which nativeadvertisement placement candidate containers, such as HTML containers,are determined. In some embodiments, for example, candidate containers,or some of them, may be used in connection with placement of nativeadvertisements. For example, in some embodiments, candidate containersmay be associated with content elements or content items on a web page,and native advertisements may be placed in association with suchcontent, such as, for example, in, with, or near such elements or items.

In some embodiments, a Document Object Model (DOM) of an HTML document,such as a Web page, is utilized. DOM elements associated with nativeadvertisement placement candidate containers are identified. Analysisassociated with the DOM, including use of the identified elements, isutilized to determine native advertisement placement candidatecontainers. In various embodiments, the identified DOM elements may bedetermined automatically without user input, or with user assistance,such as user selection.

In some embodiments, a native advertisement placement engine may be usedin determining native advertisement placement candidate containers. Insome embodiments, the engine may utilize a DOM of a secondary sourceHTML document, such as a RSS feed or Mobile web page, which may beassociated with a primary HTML document, such as a web page. Contentitems may be identified from the secondary source HTML document and usedin determining associated or corresponding DOM elements in the web pagethat may be associated with native advertisement placement candidatecontainers in the web page.

In some embodiments, a native advertisement placement engine, forexample, may use analysis using XML Path Language analysis)(Paths.Furthermore, in some embodiments, computation, including use of)(Paths,may be used in finding a metacontainer, such as may contain all of theidentified DOM elements. Tag whitelisting may also be used in thecomputation, as described further herein.

In some embodiments, a native advertisement placement engine, forexample, may employ techniques that make use of identified frequentmarkups, or repeating tag sequences, within a DOM of a web page, thatcorrespond to a single DOM element, and may satisfy other conditions.Identified such sequences may be used in determining DOM elements, ofthe DOM of the web page, associated with native advertisement placementcandidate containers, and in determining native advertisement placementcandidate containers. For example, in determining the repeating tagsequences, some embodiments employ analysis utilizing computation usinga constructed suffix tree composed of web page HTML tags, while someembodiments employ a node flattening technique that may includeconcatenation of tag names.

In some embodiments, various filtering techniques and criteria may beused, for example, in connection with limiting or pruning a set ofnative advertisement placement candidate containers. Such filtering maybe performed, for example, based on parameters relating to candidatecontainers or potential candidate containers, or relating to nativeadvertisements to be associated with candidate containers.

While embodiments of the invention are described largely in connectionwith native advertisement placement, it is to be understood thattechniques according to various embodiments of the invention can also beused for other purposes, including native content placement, even ifsuch content is non-advertising content.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a block diagram of a distributed computer system thatcan implement one or more aspects of a native advertisements placementsystem or method according to one embodiment of the invention;

FIG. 2 illustrates a block diagram of an electronic device that canimplement one or more aspects of a native advertisements placementsystem or method according to one embodiment of the invention;

FIG. 3 illustrates a block diagram of a graphical user interfaceaccording to one embodiment of the invention;

FIG. 4 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention;

FIG. 5 illustrates a block diagram of a system that can implement one ormore aspects of a system according to one embodiment of the invention;

FIG. 6 illustrates a block diagram of a system that can implement one ormore aspects of a system according to one embodiment of the invention;

FIG. 7 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention;

FIG. 8 illustrates a block diagram of a system that can implement one ormore aspects of a system according to one embodiment of the invention;

FIG. 9 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention;

FIG. 10 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention;

FIG. 11 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention;

FIG. 12 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention; and

FIG. 13 illustrates a flow diagram of example operations of one or moreaspects of a system or method according to one embodiment of theinvention.

While the invention is described with reference to the above drawings,the drawings are intended to be illustrative, and the inventioncontemplates other embodiments within the spirit of the invention.

DETAILED DESCRIPTION

The present invention now will be described more fully hereinafter withreference to the accompanying drawings, which form a part hereof, andwhich show, by way of illustration, specific embodiments by which theinvention may be practiced. This invention may, however, be embodied inmany different forms and should not be construed as limited to theembodiments set forth herein; rather, these embodiments are provided sothat this disclosure will be thorough and complete, and will fullyconvey the scope of the invention to those skilled in the art. Amongother things, the present invention may be embodied as methods ordevices. Accordingly, the present invention may take the form of anentirely hardware embodiment, an entirely software embodiment or anembodiment combining software and hardware aspects. The followingdetailed description is, therefore, not to be taken in a limiting sense.

Throughout the specification and claims, the following terms take themeanings explicitly associated herein, unless the context clearlydictates otherwise. The phrase “in one embodiment” as used herein doesnot necessarily refer to the same embodiment, though it may.Furthermore, the phrase “in another embodiment” as used herein does notnecessarily refer to a different embodiment, although it may. Thus, asdescribed below, various embodiments of the invention may be readilycombined, without departing from the scope or spirit of the invention.

In addition, as used herein, the term “or” is an inclusive “or”operator, and is equivalent to the term “and/or,” unless the contextclearly dictates otherwise. The term “based on” is not exclusive andallows for being based on additional factors not described, unless thecontext clearly dictates otherwise. In addition, throughout thespecification, the meaning of “a,” “an,” and “the” includes pluralreferences. The meaning of “in” includes “in” and “on.” Herein, “ad” and“advertisement” are used interchangeably.

It is noted that description herein is not intended as an extensiveoverview, and as such, concepts may be simplified in the interests ofclarity and brevity.

Herein, native ads, native ad placement, and placement, among otherterms, are intended to have broad scope. Native ads can be or include,without limitation, any of many different types of advertisements,including all that are described herein, among others. “Placement”, asthe term is used herein, is intended to have broad scope, covering, andcan include, among other things, activities or conduct in connectionwith obtaining, storing, determining, configuring, selecting, ranking,retrieving, targeting, matching, serving and presenting items, such asadvertisements. Furthermore, although embodiments are described largelyin connection with native advertisement placement, various embodimentsand techniques can be used in other areas, such as, for instance,non-advertising item or content placement, or other areas includingnon-advertising items or content.

FIG. 1 illustrates components of one embodiment of an environment inwhich the invention may be practiced. Not all of the components may berequired to practice the invention, and variations in the arrangementand type of the components may be made without departing from the spiritor scope of the invention. As shown, the system 100 includes one or morelocal area networks (“LANs”)/wide area networks (“WANs”) 112, one ormore wireless networks 110, one or more wired or wireless client devices106, mobile or other wireless client devices 102-106, one or moreservers 107, one or more native ads placement servers 108 (or, in otherembodiments, native content servers or native non-advertising contentservers), such as may include one or more native advertisementsplacement engines, and one or more advertisement servers 109 (or, inother embodiments, content or non-advertising content servers), and mayinclude or communicate with one or more data stores or databases.Various of the client devices 102-106 may include, for example, desktopcomputers, laptop computers, set top boxes, tablets, cell phones, smartphones, etc. The servers 107-109 can include, for example, one or moreapplication servers, content servers, search servers, etc.

An advertisement server can include, for example, a computer server thathas a role in connection with online advertising, such as, for example,in obtaining, storing, determining, configuring, selecting, ranking,retrieving, targeting, matching, serving and presenting onlineadvertisements to users, such as on websites, in applications, and otherplaces where users will see them, etc.

FIG. 2 illustrates a block diagram of an electronic device 200 that canimplement one or more aspects of a native advertisements placementsystem or method according to one embodiment of the invention. Instancesof the electronic device 200 may include servers, e.g. servers 107-109,and client devices, e.g. client devices 102-106. In general, theelectronic device 200 can include a processor 202, memory 230, a powersupply 206, and input/output (I/O) components 240, e.g., microphones,speakers, displays, touchscreens, keyboards, keypads, GPS components,etc., which may be operable, for example, to provide graphical userinterfaces. The electronic device 200 can also include a communicationsbus 204 that connects the aforementioned elements of the electronicdevice 200. Network interfaces 214 can include a receiver and atransmitter (or transceiver), and an antenna for wirelesscommunications.

The processor 202 can include one or more of any type of processingdevice, e.g., a central processing unit (CPU). Also, for example, theprocessor can be central processing logic. Central processing logic, orother logic, may include hardware, firmware, software, or combinationsthereof, to perform one or more functions or actions, or to cause one ormore functions or actions from one or more other components. Also, basedon a desired application or need, central processing logic, or otherlogic, may include, for example, a software controlled microprocessor,discrete logic, e.g., an application specific integrated circuit (ASIC),a programmable/programmed logic device, memory device containinginstructions, etc., or combinatorial logic embodied in hardware.Furthermore, logic may also be fully embodied as software.

The memory 230, which can include RAM 212 and ROM 232, can be enabled byone or more of any type of memory device, e.g., a primary (directlyaccessible by the CPU) or secondary (indirectly accessible by the CPU)storage device (e.g., flash memory, magnetic disk, optical disk). TheRAM can include an operating system 221, data storage 224, which mayinclude one or more databases, and programs and/or applications 222,which can include, for example, software aspects of the nativeadvertisements placement program 223. The ROM 232 can also include BIOS220 of the electronic device.

The Program 223 is intended to broadly include or represent allprogramming, applications, algorithms, software and other toolsnecessary to implement or facilitate methods and systems according toembodiments of the invention. The elements of the Program 223 may existon a single server computer or be distributed among multiple computersor devices or entities, which can include advertisers, publishers, dataproviders, etc. In some embodiments, the program may be or include anative advertisement placement engine. In other embodiments, the engine223 can be a native content, or native non-advertising content,placement program.

The power supply 206 contains one or more power components, andfacilitates supply and management of power to the electronic device 200.

The input/output components, including I/O interfaces 240, can include,for example, any interfaces for facilitating communication between anycomponents of the electronic device 200, components of external devices(e.g., components of other devices of the network or system 100), andend users. For example, such components can include a network card thatmay be an integration of a receiver, a transmitter, and one or moreinput/output interfaces. A network care, for example, can facilitatewired or wireless communication with other devices of a network. Incases of wireless communication, an antenna can facilitate suchcommunication. Also, some of the input/output interfaces 240 and the bus204 can facilitate communication between components of the electronicdevice 200, and in an example can ease processing performed by theprocessor 202.

Where the electronic device 200 is a server, it can include a computingdevice that can be capable of sending or receiving signals, e.g., via awired or wireless network, or may be capable of processing or storingsignals, e.g., in memory as physical memory states. The server may be anapplication server that includes a configuration to provide one or moreapplications, e.g., aspects of the native advertisements placementprogram 223, via a network to another device. Also, an applicationserver may, for example, host a Web site that can provide a userinterface for administration of example aspects of the nativeadvertisements placement program 223.

Any computing device capable of sending, receiving, and processing dataover a wired and/or a wireless network may act as a server, such as infacilitating aspects of implementations of the native advertisementsplacement program 223. Thus, devices acting as a server may includedevices such as dedicated rack-mounted servers, desktop computers,laptop computers, set top boxes, integrated devices combining one ormore of the preceding devices, etc.

Servers may vary in widely in configuration and capabilities, but theygenerally include one or more central processing units, memory, massdata storage, a power supply, wired or wireless network interfaces,input/output interfaces, and an operating system such as Windows Server,Mac OS X, Unix, Linux, FreeBSD, etc.

A server may include, for example, a device that is configured, orincludes a configuration, to provide data or content via one or morenetworks to another device, such as in facilitating aspects of anexample native advertisements placement program 223. One or more serversmay, for example, be used in hosting a Web site, such as the Yahoo! Website. One or more servers may host a variety of sites, such as, forexample, business sites, informational sites, social networking sites,educational sites, wikis, financial sites, government sites, personalsites, etc.

Servers may also, for example, provide a variety of services, such asWeb services, third-party services, audio services, video services,email services, instant messaging (IM) services, SMS services, MMSservices, FTP services, voice or IP (VOIP) services, calendaringservices, phone services, advertising services etc., all of which maywork in conjunction with example aspects of an example nativeadvertisements placement program 223. Content may include, for example,text, images, audio, video, advertisements, etc.

In example aspects of the native advertisements placement program 223,client devices may include, for example, any computing device capable ofsending and receiving data over a wired and/or a wireless network. Suchclient devices may include desktop computers as well as portable devicessuch as cellular telephones, smart phones, display pagers, radiofrequency (RF) devices, infrared (IR) devices, Personal DigitalAssistants (PDAs), handheld computers, GPS-enabled devices tabletcomputers, sensor-equipped devices, laptop computers, set top boxes,wearable computers, integrated devices combining one or more of thepreceding devices, etc.

Client devices, as may be used in example native advertisementsplacement programs, may range widely in terms of capabilities andfeatures. For example, a cell phone, smart phone or tablet may have anumeric keypad and a few lines of monochrome LCD display on which onlytext may be displayed. In another example, a Web-enabled client devicemay have a physical or virtual keyboard, data storage (such as flashmemory or SD cards), accelerometers, gyroscopes, GPS or otherlocation-aware capability, and a 2D or 3D touch-sensitive color screenon which both text and graphics may be displayed.

Client devices, such as client devices 102-106, for example, as may beused in example native advertisements placement programs, may run avariety of operating systems, including personal computer operatingsystems such as Windows, iOS or Linux, and mobile operating systems suchas iOS, Android, and Windows Mobile, etc. Client devices may be used torun one or more applications that are configured to send or receive datafrom another computing device. Client applications may provide andreceive textual content, multimedia information, etc. Clientapplications may perform actions such as browsing webpages, using a websearch engine, sending and receiving messages via email, SMS, or MMS,playing games (such as fantasy sports leagues), receiving advertising,watching locally stored or streamed video, or participating in socialnetworks.

In example aspects of the native advertisements placement program 223,one or more networks, such as networks 110 or 112, for example, maycouple servers and client devices with other computing devices,including through wireless network to client devices. A network may beenabled to employ any form of computer readable media for communicatinginformation from one electronic device to another. A network may includethe Internet in addition to local area networks (LANs), wide areanetworks (WANs), direct connections, such as through a universal serialbus (USB) port, other forms of computer-readable media, or anycombination thereof. On an interconnected set of LANs, including thosebased on differing architectures and protocols, a router acts as a linkbetween LANs, enabling data to be sent from one to another.

Communication links within LANs may include twisted wire pair or coaxialcable, while communication links between networks may utilize analogtelephone lines, cable lines, optical lines, full or fractionaldedicated digital lines including T1, T2, T3, and T4, IntegratedServices Digital Networks (ISDNs), Digital Subscriber Lines (DSLs),wireless links including satellite links, or other communications linksknown to those skilled in the art. Furthermore, remote computers andother related electronic devices could be remotely connected to eitherLANs or WANs via a modem and a telephone link.

A wireless network, such as wireless network 110, as in an examplenative advertisements placement program 223, may couple devices with anetwork. A wireless network may employ stand-alone ad-hoc networks, meshnetworks, Wireless LAN (WLAN) networks, cellular networks, etc.

A wireless network may further include an autonomous system ofterminals, gateways, routers, or the like connected by wireless radiolinks, or the like. These connectors may be configured to move freelyand randomly and organize themselves arbitrarily, such that the topologyof wireless network may change rapidly. A wireless network may furtheremploy a plurality of access technologies including 2nd (2G), 3rd (3G),4th (4G) generation, Long Term Evolution (LTE) radio access for cellularsystems, WLAN, Wireless Router (WR) mesh, etc. Access technologies suchas 2G, 2.5G, 3G, 4G, and future access networks may enable wide areacoverage for client devices, such as client devices with various degreesof mobility. For example, wireless network may enable a radio connectionthrough a radio network access technology such as Global System forMobile communication (GSM), Universal Mobile Telecommunications System(UMTS), General Packet Radio Services (GPRS), Enhanced Data GSMEnvironment (EDGE), 3GPP Long Term Evolution (LTE), LTE Advanced,Wideband Code Division Multiple Access (WCDMA), Bluetooth, 802.11b/g/n,etc. A wireless network may include virtually any wireless communicationmechanism by which information may travel between client devices andanother computing device, network, etc.

Internet Protocol may be used for transmitting data communicationpackets over a network of participating digital communication networks,and may include protocols such as TCP/IP, UDP, DECnet, NetBEUI, IPX,Appletalk, and the like. Versions of the Internet Protocol include IPv4and IPv6. The Internet includes local area networks (LANs), wide areanetworks (WANs), wireless networks, and long haul public networks thatmay allow packets to be communicated between the local area networks.The packets may be transmitted between nodes in the network to siteseach of which has a unique local network address. A data communicationpacket may be sent through the Internet from a user site via an accessnode connected to the Internet. The packet may be forwarded through thenetwork nodes to any target site connected to the network provided thatthe site address of the target site is included in a header of thepacket. Each packet communicated over the Internet may be routed via apath determined by gateways and servers that switch the packet accordingto the target address and the availability of a network path to connectto the target site.

A “content delivery network” or “content distribution network” (CDN), asmay be used in an example native advertisements placement program 223,generally refers to a distributed computer system that comprises acollection of autonomous computers linked by a network or networks,together with the software, systems, protocols and techniques designedto facilitate various services, such as the storage, caching, ortransmission of content, streaming media and applications on behalf ofcontent providers. Such services may make use of ancillary technologiesincluding, but not limited to, “cloud computing,” distributed storage,DNS request handling, provisioning, data monitoring and reporting,content targeting, personalization, and business intelligence. A CDN mayalso enable an entity to operate and/or manage a third party's Web siteinfrastructure, in whole or in part, on the third party's behalf.

A peer-to-peer (or P2P) computer network relies primarily on thecomputing power and bandwidth of the participants in the network ratherthan concentrating it in a given set of dedicated servers. P2P networksare typically used for connecting nodes via largely ad hoc connections.A pure peer-to-peer network does not have a notion of clients orservers, but only equal peer nodes that simultaneously function as both“clients” and “servers” to the other nodes on the network.

Some embodiments include direct or indirect use of social networks andsocial network information, such as in targeted advertising oradvertisement selection. A “Social network” refers generally to anetwork of acquaintances, friends, family, colleagues, and/or coworkers,and potentially the subsequent connections within those networks. Asocial network, for example, may be utilized to find more relevantconnections for a variety of activities, including, but not limited to,dating, job networking, receiving or providing service referrals,content sharing, creating new associations or maintaining existingassociations with like-minded individuals, finding activity partners,performing or supporting commercial transactions, etc.

A social network may include individuals with similar experiences,opinions, education levels and/or backgrounds, or may be organized intosubgroups according to user profile, where a member may belong tomultiple subgroups. A user may have multiple “1:few” circles, such astheir family, college classmates, or coworkers.

A person's online social network includes the person's set of directrelationships and/or indirect personal relationships. Direct personalrelationships refers to relationships with people the user communicateswith directly, which may include family members, friends, colleagues,coworkers, and the like. Indirect personal relationships refers topeople with whom a person has not had some form of direct contact, suchas a friend of a friend, or the like. Different privileges andpermissions may be associated with those relationships. A social networkmay connect a person with other people or entities, such as companies,brands, or virtual persons. A person's connections on a social networkmay be represented visually by a “social graph” that represents eachentity as a node and each relationship as an edge.

Users may interact with social networks through a variety of devices.Multi-modal communications technologies may enable consumers to engagein conversations across multiple devices and platforms, such as cellphones, smart phones, tablet computing devices, personal computers,televisions, SMS/MMS, email, instant messenger clients, forums, andsocial networking sites (such as Facebook, Twitter, and Google+), orothers.

In some example native advertisements placement program 223, variousmonetization techniques or models may be used in connection withcontextual or non-search related advertising, as well as in sponsoredsearch advertising, including advertising associated with user searchqueries, and non-sponsored search advertising, including graphical ordisplay advertising. In an auction-based online advertising marketplace,advertisers may bid in connection with placement of advertisements,although many other factors may also be included in determiningadvertisement selection or ranking. Bids may be associated with amountsthe advertisers pay for certain specified occurrences, such as forplaced or clicked-on advertisements, for example. Advertiser payment foronline advertising may be divided between parties including one or morepublishers or publisher networks, and one or more marketplacefacilitators or providers, potentially among other parties.

Some models include guaranteed delivery advertising, in whichadvertisers may pay based on an agreement guaranteeing or providing somemeasure of assurance that the advertiser will receive a certain agreedupon amount of suitable advertising, and non-guaranteed deliveryadvertising, which may be individual serving opportunity-based or spotmarket-based. In various models, advertisers may pay based on any ofvarious metrics associated with advertisement delivery or performance,or associated with measurement or approximation of a particularadvertiser goal. For example, models can include, among other things,payment based on cost per impression or number of impressions, cost perclick or number of clicks, cost per action for some specified action,cost per conversion or purchase, or cost based on some combination ofmetrics, which can include online or offline metrics.

The process of buying and selling online advertisements may include orrequire the involvement of a number of different entities, includingadvertisers, publishers, agencies, networks, and developers. To simplifythis process, some companies provide mutual organization systems called“ad exchanges” that connect advertisers and publishers in a unifiedplatform to facilitate the bidded buying and selling of onlineadvertisement inventory from multiple ad networks. “Ad networks” refersto companies that aggregate ad space supply from publishers and provideen masse to advertisers.

For Web portals, such as Yahoo!, advertisements may be displayed on webpages resulting from a user-defined search based upon one or more searchterms. Such advertising is most beneficial to users, advertisers and webportals when the displayed advertisements are relevant to the web portaluser's interests. Thus, a variety of techniques have been developed toinfer the user's interests/intent and subsequently target the mostrelevant advertising to that user.

One approach to improving the effectiveness of presenting targetedadvertisements to those users interested in receiving productinformation from various sellers is to employ demographiccharacteristics (i.e., age, income, sex, occupation, etc.) forpredicting the behavior of groups of different users. Advertisements maybe presented to each user in a targeted audience based upon predictedbehaviors rather than in response to certain keyword search terms.

Another approach is profile-based ad targeting. In this approach, userprofiles specific to each user are generated to model user behavior, forexample, by tracking each user's path through a web site or network ofsites, and then compiling a profile based on what pages andadvertisements were delivered to the user. Using aggregated data, acorrelation develops between users in a certain target audience and theproducts that those users purchase. The correlation then is used totarget potential purchasers by targeting content or advertisements tothe user at a later time.

During the presentation of advertisements, the presentation system maycollect detailed information about the type of advertisements presentedto the user. This information may be used for gathering analyticinformation on the advertising or potential advertising within thepresentation. A broad range of analytic information may be gathered,including information specific to the advertising presentation system.Advertising analytics gathered may be transmitted to locations remote tothe local advertising presentation system for storage or for furtheranalysis. Where such advertising analytics transmittal is notimmediately available, the gathered advertising analytics may be savedby the advertising presentation system until the transmittal of thoseadvertising analytics becomes available.

Some embodiments of the invention relate, directly or indirectly tonative advertisement placement. Native advertisements can include, amongother things, advertisements, such as online advertisements, that, tosome degree, blend, match, flow with, or are in some ways similar to thecontext of the user's experience, such as may include non-advertisingitems or content. In some embodiments, Native ads can include, amongother things, formats that may match or be similar to the form orfunction of the user experience in which the ad is presented. In someembodiments, native advertisements may seem less obtrusive or intrusiveto the user or to the user's experience.

Some embodiments of the invention provide systems, methods, platformsand techniques relating to native ads, such as in connection withplacement of native ads. Some embodiments include automaticallydetecting, locating, determining or selecting candidate locations,locations, contexts, or situations for placing or serving native ads,such as, for example, on or positioned in, or within content of, apublisher's Web site. This may include determining, for example,locations or placements, relative locations or placements, orappropriate, good or optimized locations or placements for the nativeads. Such locations or placements may, for example, be at least partlybased on factors consistent with form and function of native ads, whichcan, in some embodiments, include, among other things,non-intrusiveness, non-intrusive look or feel, continuity or blending,or a desired degree of continuity or blending with context and content,content-relatedness, not interfering with user experience or confusingusers, high probability of attention, click or other desirable useraction, or others. In various embodiments, this may be done without user(such as, for example, a publisher or agent of a publisher) input oraction during the process, automatically, semi-automatically, or inuser-assisted fashion. Some embodiments include analysis or automaticanalysis of publishers' Web sites, such as, for example, in determiningthe candidate locations or the locations.

In some embodiments, a user (as an example, a publisher) selects (suchas through a user-facing GUI) one or more Document Object Model (DOM)elements (or content or items associated with such elements), which mayrelate, for example, to a publisher's HTML Page (which can relate tocontent or other elements). A native advertisements placement system orengine may then use one of several approaches, using the selected DOMelements, to determine native advertisement placement candidatecontainers from the DOM.

In some embodiments, determined candidate containers may be useable indetermining native advertisement placement, such as, for example, inconnection with particular content or content items associated with thecandidate containers, or some of them. This can include, for example,among other things, placing, which can include targeting, serving,presenting, etc., native advertisements in association with such contentor content items, such as in or near such content or content items,within a group, flow or visible flow of such content or content items,positioning the advertisement within, adjacent to, or as part of suchcontent or content items, etc.

Some embodiments provide content-guided native advertisements placementsystems and methods. In some embodiments, some of the difficulties of aNative Ads serving platform may be avoided or mitigated by techniquesthat include detection of candidate native ad placements on publishers'properties. In some embodiments, automating native ad placementdetection can reduce adoption friction and can help reduce integration,for example, from weeks to hours. Some embodiments approach the problemof Native Ad Document Object Model (DOM) element detection in aqualitatively different viewpoint than other embodiments. Searching isperformed for secondary sources for the main content that is availableon, for example, a publisher's property. For each article on thesecondary source, searching is performed for the corresponding contenton the main web property and then detecting is performed of the DOMelement that encompasses all HTML tags associated with that content. Forexample, two alternative sources of secondary information may beutilized, namely RSS and mobile web properties (that may be, bynecessity, mainly content-focused.)

Some embodiments of the invention provide generalized)(Paths(where)(Paths relate to XML Path Language) native advertisementsplacement systems and methods. In some embodiments, generalized)(Pathsmay relate to return or output of DOM traversal or DOM related analysisaccording to techniques or algorithms, or portions thereof, according tosome embodiments of the invention. A starting point may be the DOM ofthe publisher's HTML property. In some user-assisted embodiments, theuser, such as the publisher, is requested to select one or more elementswithin what they consider to be an appropriate DOM element for Nativeadvertisements placement. The system detects the deepest DOM node thatis an ancestor of all user-selected elements and computes its path fromthe DOM root in the form of an XPath where only the HTML tag names areconsidered. This XPath will correspond to a set of k DOM elements, as itpoints on an element within a candidate Native Ad container which, insome embodiments, by definition, appears more than once on the page. Insome embodiments, the system then repeatedly traverses the path towardsthe DOM root until it reaches a position where the corresponding XPathcorresponds to less than k DOM nodes. The last XPath created thatcorresponds to k nodes may be the system's result, while its associatedk DOM nodes are the candidate native ad placement locations.

Some embodiments of the invention provide frequent markup sequencessystems or methods, in ad placement. In some embodiments, such a systemreturns as native ads placement results, all HTML markup sequences thatare at least L tags long, appear at least R times on the property andcorrespond to a single DOM element. Several approaches are possible.

In providing frequent markup sequences systems or methods, a firstapproach, according to some embodiments, is a Suffix Trees Approach. Insome embodiments, the suffix tree is created of a string S comprisingall tags in the DOM. For each internal node of the Suffix Tree of S, thenumber of its leaf nodes is computed. If an internal node has K leafs,then the substring formed by all labels on the unique path from the rootto that node appears in S exactly K times. A depth-first traversal maybe performed starting from the root, pruning the recursion when thenumber of leafs of the current node drops below R. By construction, eachinternal node corresponds to a markup subsequence that appears at leastR times in S. All such subsequences are returned that satisfy remainingrestrictions.

In providing frequent markup sequences systems or methods, a secondapproach, according to some embodiments, is a node flattening approach.In some embodiments, the system traverses the DOM. At each node, itcreates a string corresponding to the current node's tag nameconcatenated with the tag names of its children nodes. Deeper flatteningof the DOM rooted at the current node is also an option, in someembodiments. Subsequently, the system collects the set of all nodescorresponding to strings that appear at least R times. Finally, thesystem returns as Native Ad location results, all nodes from the setthat are not parents of another node in the set.

FIG. 3 illustrates a block diagram of a graphical user interface 300according to one embodiment of the invention. In Particular, FIG. 3provides a simplified illustration of a portion of a web page includinga native ad 306, placement of which can be facilitated by techniquesaccording to the invention. As depicted, the native ad 306, appears in,or injected or placed into, a group, series or flow of content items302, 304, such as native content items. Form and function of native adscan, of course, vary, but, as depicted, the native ad 306 including atextual indication 308 that is an ad, which may also be a link, etc., aswell as shading, as represented by dots 310, which may, in someembodiments, distinguish or subtly distinguish the native ad from othercontent items while not breaking abruptly or drastically from thecontent item context, for example. Each of the native ad 306 and thecontent items 302, 304 may include various components, which can includesub-items or sub-content, such as a link (such to an article, othercontent item, larger ad, etc.) title, body text, one or more graphics,and may include any number of other components, such as audio, video,etc.

Some embodiments of the invention include determining one or more HTMLcontainers (which may include one or more meta-containers containingmultiple smaller containers) with which native ads may be associated,such as by eventually or potentially being placed into or adjacent to.For example, as depicted in FIG. 3, some embodiments of the inventionmay include determining an HTML container associated with the set ofcontent items that include content items 302 and 304. As depicted, thenative ad 306 is injected in the flow or group of content items thatinclude content items 302 and 304, and may include other content itemsthat are not depicted.

FIG. 4 illustrates a flow diagram 400 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention. As depicted, the steps are carried out by a native adplacement engine 401.

At step 406, the native ad placement engine 401 obtains a DOM 404 of aweb page, such as a publisher web page 402 onto which ads are to beplaced.

At step 408, the engine 401 identifies DOM elements 410 associated withnative ad placement container candidates. In some embodiments, this caninclude identifying DOM elements associated with containers that wouldor might make good, appropriate, fitting, etc, native ad placementcontainer candidates.

At step 412, the engine 401, using the DOM and the identified elements,perhaps among other things, determines native ad placement containercandidates 414.

Throughout the steps depicted in FIG. 4, data may be stored, sent, andreceived to and from one or more databases 416 accessible directly orindirectly by the engine 401.

FIG. 5 illustrates a block diagram of a system 500 that can implementone or more aspects of a system according to one embodiment of theinvention. Particularly, FIG. 5 illustrates aspects of types of a nativead placement engine 502. Specifically, as depicted, some engines 502 areautomated 504 and require no user input 506. Other engines 502 may beuser-assisted 508, and the engine 502 may identify the DOM elements,associated with native ad placement container candidates, at least inpart utilizing user input 510, such as, for example, direct or indirectGUI-based DOM element selection.

FIG. 6 illustrates a block diagram of a system 600 that can implementone or more aspects of a system according to one embodiment of theinvention. Particularly, FIG. 6 illustrates various techniques that maybe used by various embodiments of a native ad placement engine 602.Specifically, among other things, the engine 602 may use, for example,content-guided techniques or algorithms 604, XPath related techniques oralgorithms or other techniques or algorithms 606, or frequent markuptechniques or algorithms 608, or some combination, possibly among otherthings.

FIG. 7 illustrates a flow diagram 700 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention, including a native ad placement engine 702 that can send,receive and store information in one or more databases 704.

At step 706, the engine 702 identifies a secondary source HTML document(i.e., RSS feed, mobile web page, etc.), or more than one, associatedwith a primary web page.

At step 708, the engine 702 identifies content, of the secondary sourceHTML document, associated with native advertisement placement candidatecontainers in the primary HTML document.

At step 710, the engine 702 identifies DOM elements of the primary HTMLdocument associated with native advertisement placement candidatecontainers.

At step 712, the engine 702 identifies native advertisement placementcandidate containers relating to the primary HTML document.

Some embodiments using a content-guided approach include searching forand finding secondary sources for the main content that is available on,for example, a publisher's property, such as a web site. For each of aset of articles (for example) on the secondary source, a native adplacement engine may search for and find the corresponding content onthe main or primary property, such as a publisher's web site. The enginemay then detect the DOM element or container that encompasses all HTMLtags associated with that content. Two example types of secondarysources are RSS and mobile web properties.

For example, a hypothetical RSS content container from a hypotheticalnews site, znn.com might include the following:

1 <item> 2  <title>Save the butterflies</title> 3 <guid>http://www.znn.com/2013/02/14/opinion/smith-butterflies/index.html</guid> 4 <link>http://rss.znn.com/~r/rss/znn_topstories/~3/CkZP-NnVnxY/Index.html</link> 5  <description>Ten years ago, [. .] 6  </description>7  <pubDate>Fri, 14 Feb 2013 19:10:22 EST</pubDate> 8 </item>

In some embodiments, the engine extracts the content from the main tagsin <item> and searches for and finds it on the main web property. Inthis example, the engine may search for <title> and <description>. Theengine identifies the DOM elements that contain the correspondingcontent and then searches for and finds the DOM element that is thedeepest ancestor of all of them. The engine may then return all such DOMelements, corresponding to all <item> entries, as native ad placementcandidate containers.

FIG. 8 illustrates a block diagram of a system 800 that can implementone or more aspects of a system according to one embodiment of theinvention. In particular, FIG. 8 depicts a simplified portion of ahypothetical mobile web page from the hypothetical news site, znn.com.In a way somewhat similar to that of the content-guided approach examplewith RSS, the engine may identify mobile property elements that maycontain content, and may search for and find it on the main or primaryproperty. Such an approach may have an advantage that, typically, mobileversions of web properties present non-content elements sparingly due tothe limited screen area. As depicted on the mobile web page of FIG. 8,various content items 802 may be identified or easily identified, eachof which, as depicted, may include components such as title, graphic,etc., may be associated with various content sections such as US News,World News, etc.

FIG. 9 illustrates a flow diagram 900 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention, including a native ad placement engine 902 that can send,receive and store information in one or more databases 904.

At step 908, the engine 902 determines DOM elements (automatically orwith user assistance) associated with, or determined to be associatedwith, native ad placement candidate containers.

At step 910, the engine performs analysis, including identifying thedeepest set of nodes in the DOM, corresponding to a particular tagsequence, whose cardinality is no less than a cardinality of the set ofnodes in the DOM, corresponding to a particular tag sequence,corresponding to the identified elements.

At step 912, the engine 902 uses analysis results in determining nativead placement candidate containers.

FIG. 10 illustrates a flow diagram 1000 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention. Elements 1002-1010 are similar in many ways to elements902-910 as depicted in FIG. 9. However, at step 1008, the analysisexpressly includes use of)(Paths.

FIG. 11 illustrates a flow diagram 1100 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention. Elements 1102-1110 are similar in many ways to elements1002-1010 as depicted in FIG. 10. However, at step 1108 the analysisexpressly includes use of tag whitelisting.

Some embodiments obtain, for example, a DOM of a publisher's HTML webpage, where elements on the web page may correspond to nodes on the DOM.Some embodiments employ a fully automated approach, while others use atleast some user assistance, in determining DOM elements associated withnative ad placement container candidates.

In some embodiments, for example, a user (such as, for example, apublisher) is requested to select one or more elements within what theuser considers to be an appropriate DOM element for native adsplacement, such as through a graphical user interface (GUI) that may beprovided to the user. In some embodiments, the system detects thedeepest DOM node (i.e. furthest from the root) that is an ancestor ofall user-selected elements (for simplicity, a node is considered to bean ancestor of itself) and computes its path from the DOM root in theform of an XPath where only the HTML tag names are considered. In someembodiments, this path will correspond to k≧2 DOM elements, as it pointson an element within a candidate native ad placement candidate containerwhich, by definition, appears more than once on the page. The system maythen repeatedly traverse the path towards the DOM root until it reachesa position where the corresponding XPath corresponds to less than k DOMnodes. The last XPath created that corresponds to k nodes is thesystem's result, while its associated k DOM nodes may be candidatenative ad placement positions, locations, relative locations, etc.

The following simple HTML document (“HTML Document 1”) is provided touse as an example:

 1 <html>  2 <body>  3 <div id=”div1”>  4 <article id=”article”>  5 <imgsrc=”image1.gif>  6 <div>  7 <a href=”/link1.html”>Link 1</a>  8 </div> 9 </article> 10 <article id=”article2”> 11 <img src=”image2.gif 12<div> 13 <a href=”/link2.html”>Link 2</a> 14 </div> 15 </article> 16</div> 17 <div id=”div2”> 18 <article id=”article3”> 19 <imgsrc=”image3.gif> 20 <div> 21 <a href=”/link3.html”>Link 3</a> 22 </div>23 </article> 24 </div> 25 </body> 26 </html>

As an example, the user has provided the anchor link on line 13 as inputthe system.)(Path/html/body/div/article/div/a is deduced. The systemdetects 3 nodes that correspond to the)(Path. It thenexamines)(Path/html/body/div/article/div/a/... Again, 3 nodes correspondto it. It then examines/html/body/div/article/div/a/../.. and alsodetects that 3 noes correspond to it. Finally, it examinesXPath/html/body/div/article/div/a/../../.. and detects that less than 3DOM nodes correspond to it. It therefore returns /html/body/div/articleas its result.

Generally, some embodiments identify the deepest set of nodes in theDOM, corresponding to a particular tag sequence, whose cardinality is noless than a cardinality of the set of nodes in the DOM, corresponding toa particular tag sequence, corresponding to the identified elements. Asa simplified example, suppose that a DOM tag sequence for an HTMLdocument can be represented in a simplified fashion as Tag 1/Tag 2/Tag3/Tag 4. Suppose that this sequence corresponds to 3 nodes thatcorrespond to identified elements that are associated with native adcandidate containers. In a sense navigating or stepping back toward theroot, suppose that Tag 1/Tag 2/Tag 3/Tag4/.. is associated with 3 nodesas well. Further suppose that Tag 1/Tag 2/Tag3/Tag4/../.. is associatedwith only 2 nodes. Still further, supposed that [Tag 1] is associatedwith 1 node. Some embodiments would step back to Tag 1/[Tag2/Tag3/Tag4/../.., and upon examining it, determine that it isassociated with only 2 nodes, which is less than 3, the number of nodesassociated with the tag sequence associated with the identifiedelements. The system may then return Tag 1/Tag 2/Tag 3 as the result,since it is the deepest set of nodes in the DOM, corresponding to aparticular tag sequence, whose cardinality is no less than a cardinalityof the set of nodes in the DOM, corresponding to a particular tagsequence, corresponding to the identified elements.

Further elaborating on the above simple example, if tag whitelisting isutilized (as further described herein), and if Tag 2 happens to bewhitelisted, then the system would not stop at Tag2, but would insteadstep back further to Tag 1. Since Tag 1 is not whitelisted, and since itis associated with fewer than 3 nodes, the system would stop there, andwould return Tag 1/Tag 2 as the result.

In various user-assisted embodiments, the user may be presented withvarious approaches for selecting DOM elements, whether directly orindirectly. In one approach, the user may hover over candidate DOMelements, in which case the system immediately computes and displays theresults. If the user is satisfied with the results, she clicks on theDOM element to select it and pause further computation of results. Asubsequent click re-enables hover mode.

In another approach, the user may directly click on visible elements onthe property. Each click toggles the selection of the particularelement, and triggers the computation of the results, which are thendisplayed to the user. Further simple facilitation may be provided inthe form of buttons that clear all selected elements, clear all results,or pause the computation of results.

In some embodiments, an automated system is used. The system alsoexamines the DOM. In the absence of user input, the system selects onespecific HTML tag type that is, or is highly or sufficiently probable tobe, contained within a native ad placement candidate container, or bethe container itself. Tags that may be used for this purpose include<img> or <a>, for example. Other tags, such as, for example, <article>or <li> may also be used, if present in the DOM, among potentiallyothers. In some embodiments, for each tag, its path from the root iscalculated in the form of an XPath. Subsequently, for each unique XPathcomputed, the generalized XPath algorithm is applied. The uniquegeneralized) (Paths are returned as results.

Continuing from the example above with HTML Document 1, the systemmight, for example, select all <img> tags on lines 5, 11 and 19. Foreach one, it computes its path from the root in the form of an XPath. Inthis case, all three)(Paths are equal to /html/body/div/article/img. TheXPath is therefore generalized to/html/body/div/article.

Alternatively, the system might select all <a> tags on lines 7, 13 and21. The corresponding unique XPath is/html/body/div/article/div/a. TheXPath is again generalized to/html/body/div/article. The fact that thesame result has been obtained in both cases is an indication of therobustness of the technique or algorithm.

In some embodiments, XPath generalization is used to detect DOMcontainers that are as large as possible (by being represented by theshortest possible path from the DOM root) but without lumping togethermore than one native ad placement candidate container. In some cases,however, “growing” these containers even further, such as to findparticular meta-containers, might be the desirable approach.

The following simple HTML document (“HTML Document 2”) is provided touse as an example:

 1 <html>  2 <body>  3 <div>  4 <article id=”article1”>  5 <div>  6 <ahref=”/link1A.html”>  7 <img src=”image1.gif>  8 </a>  9 <div> 10 <ahref=”/link1B.html”> 11 Link 1 12 </a> 13 <p>Text 1</p> 14 </div> 15</article> 16 <article id=”article2”> 17 <div> 18 <ahref=”/link2A.html”> 19 <img src=”image2.gif”> 20 </a> 21 <div> 22 <ahref=”/link2B.html”> 23 Link 2 24 </a> 25 <p>Text 2</p> 26 </div> 27</article> 28 </div> 29 </body> 30 </html>

In some embodiments, in the above example (HTML Document 2), whenstarting from <a> tags, the system identifies/html/body/div/article/divas the appropriate native ad placement candidate containers. While thesemay be desired results, in this case, the property designer has alreadyhinted at the location of the content containers by using the <article>tags.

In some embodiments, the system adapts to account for the presence ofsuch “hints” as follows: during)(Path generalization, the systemrepeatedly traverses the path towards the DOM root, so long as thenumber of elements corresponding to the current XPath remains the same,or the current tag is within a set of whitelisted tags.

Continuing the example, the number of DOM elements associated with/html/body/div/article has dropped to 2, while the corresponding numberfor /html/body/div/article/div was 4. However, since tag <article> iswhitelisted, the system continues to traverse the path towards the DOMroot. The number of DOM elements associated with/html/body/div is one,and therefore the result is/html/body/div/article.

FIGS. 12 and 13 relate to embodiments of the invention that make use ofsuffix trees and node flattening techniques, such as in modeling andperforming computation relating to a DOM of a HTML page, for example.

FIG. 12 illustrates a flow diagram 1200 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention, including a native ad placement engine 1202 that can send,receive and store information in one or more databases 1204.

At step 1206, the engine 1202 determines DOM elements associated with,or determined to be associated with, native ad placement candidatecontainers.

At step 1208, the engine 1202 performs analysis, including constructingand utilizing a suffix tree of a string of tags comprising all tags inthe Document Object Model.

At step 1210, the engine 1202 uses the results of the analysis indetermining native ad placement candidate containers.

FIG. 13 illustrates a flow diagram 1300 of example operations of one ormore aspects of a system or method according to one embodiment of theinvention, including a native ad placement engine 1302 that can send,receive and store information in one or more databases 1304.

At step 1306, the engine 1302 determines DOM elements associated with,or determined to be associated with, native ad placement candidatecontainers.

At step 1308, the engine 1202 performs analysis, including utilizing anode flattening technique in connection with the DOM.

Some embodiments of the invention make use of suffix trees and nodeflattening techniques, such as in modeling and performing computationrelating to a DOM of a HTML page, which may be used in the analysis, orpart of it, leading to determination of native ad placement candidatecontainers. In some embodiments, the system (or a native ad placementengine) returns all markup sequences (i.e., sequences of HTML tags) thatare at least L tags long, where L is a number, appear at least R timeson the property, or in the DOM, where R is a number, and correspond to asingle DSOM element. In some embodiments, L and R parameters that may bedetermined, adjusted or tuned to tune, adjust or optimize systemperformance and results, for example.

Some embodiments employ an approach that makes use of suffix trees. Insome embodiments, this approach may prioritize system speed or runtimeperformance, since it can reduce computational complexity and requiredtime.

In some embodiments, for example, a suffix tree (as known in the art) isconstructed of a string, S, comprising all tags in the DOM. For example,suppose that S=<html><body><div><div></div></div></body></html>. Foreach internal node, the system computes the number of its leaf nodes. Itis noted that if an internal node has k leafs, then the substring formedby all labels on the unique path from the root to that node appears in Sexactly k times. For example, if an example string is the letters in theword “banana”, consider the path ROOT→“a”→“na”, it follows that thesubstring “ana” appears in “banana” exactly two times, since the lastnode on the path has exactly two leafs.

In some embodiments, the system performs a depth-first traversalstarting from the root, and pruning the recursion when the number ofleafs of the current node drops below R. By construction, each internalnode corresponds to a markup subsequence that appears at least R timesin S. In some embodiments, the system returns all such subsequences thatsatisfy the remaining restrictions: they are at least L tags long andrepresent a single DOM node (i.e., of the form <tag> . . . </tag>.

In some embodiments, a node flattening approach is employed. Forexample, in some embodiments, the system traverses the DOM, and, foreach node, it creates a string corresponding to the current node's tagname concatenated with the tag names of its children nodes. In someembodiments, deeper flattering of the DOM rooted at the current node mayalso be utilized. In some embodiments, subsequently, the system collectsthe set of all nodes corresponding to strings that appear at least Rtimes. Next, the system returns, as results, all nodes from the set thatare not parents of another node in the set. Alternatively, in someembodiments, the system may remove from the list of results all nodesthat are ancestors of other nodes in the set.

In some embodiments, whatever approach may be used, results filteringmay (or may not) also be used. For example, in some embodiments, oncethe system or engine determines a set of native ad placement candidatecontainers, filtering may be used, for example, to narrow down the set,such as to a better, best or optimized subset. In some embodiments, adetermined set of native ad placement candidate containers mayeffectively be an initial or preliminary set, subject to filtering.

In some embodiments, filtering can take many forms, be for many specificobjectives, and utilize many different parameters and parameter ranges.For example, in some embodiments, candidate containers may be filteredbased on one or more parameters associated with candidate containers ornative advertisements to be associated with candidate containers, orother parameters associated with the containers, native ads, targeting,serving, context of placement, targeted users or their characteristics,etc. For example in some embodiments, filtering may be based onparameters including (1) candidate container size, (2) size of ameta-container associated with multiple candidate containers, (3) numberof element types included within a candidate container, (4) anticipateddisplay location of native advertisements associated with candidatecontainers, or (5) topology of the Document Object Model, among others,or combinations thereof.

For example, in some embodiments, filtering may take into account that anative ad may need to be of a particular minimum size so that itselements can be properly displayed. Alternatively, it may need to besmaller than a particular maximum size so that it can sufficiently blendin with the rest of the page, etc.

In some embodiments, meta-containers are determined. In someembodiments, filtering may be used in connection with meta-containers,such as to filter for the overall size of such metacontainers, etc.

As another example, in some embodiments, filtering may relate to minimumor maximum limits imposed on the number of particular element types (forexample, hyperlinks, images, plain text elements, etc.) that may becontained in a particular native ad placement candidate container, etc.

As yet another example, filtering may relate to restrictions on theplacement of native ad placement candidate containers as associatednative ads may be displayed in connection with them, such as requiringthat a native ad always appears on a certain portion or quadrant of thescreen or display, etc., such as so that it is certain to be visible fora set of target display resolutions, etc.

As still another example, in some embodiments, filtering, or filteringparameters, may relate to DOM topology. For example, it may be desiredto filter out results that correspond to DOM elements that are eitherthe parents or ancestors of other results' DOM elements. Alternatively,it may be desired to filter out a DOM node if it is the single child ofanother result's DOM node, etc.

1. A system comprising one or more processors and a non-transitorystorage medium comprising program logic for execution by the one or moreprocessors, the program logic comprising: a native advertisementplacement engine that: obtains a Document Object Model of an HTMLdocument; identifies Document Object Model elements, of the DocumentObject Model, associated with native advertisement placement candidatecontainers; and based at least in part on analysis associated with theDocument Object Model, and utilizing at least some of the identifiedelements, determines, within the Document Object Model, one or morenative advertisement placement candidate containers, wherein theanalysis comprises constructing and utilizing a suffix tree of a stringof tags comprising tags in the Document Object Model.
 2. The system ofclaim 1, wherein the HTML document is a web page.
 3. The system of claim1, wherein suffix trees are utilized in identifying the HTML tagsequences.
 4. The system of claim 3, wherein computation utilizingsuffix trees affords linear computational complexity in identificationof tag sequences.
 5. The system of claim 3, wherein identifying DocumentObject Model elements, of the Document Object Model and associated withnative advertisement placement candidate containers, comprisesconstructing a suffix tree of a string of tags comprising all tags inthe Document Object Model.
 6. The system of claim 1, wherein theanalysis comprises identifying, with the Document Object Model, HTML tagsequences that include at least L tags, where L is a specified number,repeat at least R times, where R is a specified number, and allcorrespond to a single element of the Document Object Model.
 7. Thesystem of claim 6, wherein L and R are parameters that are tuned atleast in part to optimize system performance.
 8. The system of claim 1,comprising utilizing a node flattening technique in identifying HTML tagsequences.
 9. The system of claim 1, wherein the identified candidatecontainers relate to content with which native advertisements may beassociated.
 10. The system of claim 1, wherein the identified candidatecontainers relate to locations or relative locations on the web page fornative advertisement placement.
 11. The system of claim 1, comprisingfiltering determined candidate containers based on one or moreparameters associated with at least one of (1) candidate containers and(2) native advertisements to be associated with candidate containers.12. The system of claim 1, comprising filtering determined candidatecontainers based on at least one of (1) candidate container size, (2)size of a meta-container associated with multiple candidate containers,(3) number of element types included within a candidate container, (4)anticipated display location of native advertisements associated withcandidate containers, and (5) topology of the Document Object Model. 13.A method comprising: obtaining a Document Object Model of a web page;identifying Document Object Model elements, of the Document ObjectModel, associated with native advertisement placement candidatecontainers; and based at least in part on analysis relating to theDocument Object Model, and utilizing at least some of the identifiedelements, determining, within the Document Object Model, one or morenative advertisement placement candidate containers, wherein theanalysis comprises utilizing a node flattening technique in connectionwith the Document Object Model.
 14. The method of claim 13, wherein theanalysis comprises identifying, with the Document Object Model, HTML tagsequences that include at least L tags, where L is a specified number,repeat at least R times, where R is a specified number, and allcorrespond to a single element of the Document Object Model.
 15. Themethod of claim 14, wherein L and R are parameters that are tuned atleast in part to optimize native advertisement placement performance.16. The method of claim 14, wherein identifying the HTML tag sequencescomprises computation utilizing a Document Object Model node flatteningtechnique.
 17. The method of claim 13, wherein the analysis comprisesconstructing and utilizing a suffix tree of a string of tags comprisingall tags in the Document Object Model.
 18. The method of claim 13,comprising filtering determined candidate containers based on one ormore parameters associated with at least one of (1) candidate containersand (2) native advertisements to be associated with candidatecontainers.
 19. The method of claim 13, comprising filtering determinedcandidate containers based on at least one of (1) candidate containersize, (2) size of a meta-container associated with multiple candidatecontainers, (3) number of element types included within a candidatecontainer, (4) anticipated display location of native advertisementsassociated with candidate containers, and (5) topology of the DocumentObject Model.
 20. A non-transitory computer readable storage medium ormedia tangibly storing computer program logic capable of being executedby a computer processor, the program logic comprising: nativeadvertisement placement engine logic for: obtaining a Document ObjectModel of a web page; identifying Document Object Model elements, of theDocument Object Model, associated with native advertisement placementcandidate containers, comprising: identifying, with the Document ObjectModel, HTML tag sequences that include at least L tags, where L is aspecified number, repeat at least R times, where R is a specifiednumber, and all correspond to a single element of the Document ObjectModel; and based at least in part on analysis relating to the DocumentObject Model, and utilizing at least some of the identified elements,determining, within the Document Object Model, one or more nativeadvertisement placement candidate containers; wherein the analysiscomprises constructing and utilizing a suffix tree of a string of tagscomprising all tags in the Document Object Model.
 21. A systemcomprising one or more processors and a non-transitory storage mediumcomprising program logic for execution by the one or more processors,the program logic comprising: a native advertisement placement enginethat: obtains a Document Object Model of an HTML document; identifiesDocument Object Model elements, of the Document Object Model, associatedwith native advertisement placement candidate containers; and based atleast in part on analysis associated with the Document Object Model, andutilizing at least some of the identified elements, determines, withinthe Document Object Model, one or more native advertisement placementcandidate containers.
 22. The system of claim 21, wherein the analysiscomprises constructing and utilizing a suffix tree of a string of tagscomprising tags in the Document Object Model.
 23. The system of claim21, wherein identifying Document Object Model elements, of the DocumentObject Model, associated with native advertisement placement candidatecontainers comprises identifying a secondary source HTML documentassociated with the HTML document, the secondary source HTML documentcomprising an HTML document that is at least one of an RSS feed HTMLdocument or a mobile web page HTML document; and identifying, within thesecondary source HTML document, content associated with nativeadvertisement placement candidate containers of the HTML document.